This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …

In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …

The design of proteins that bind to a specific site on the surface of a target protein using no
information other than the three-dimensional structure of the target remains a challenge …

The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

Abstract The HDOCK server (http://hdock. phys. hust. edu. cn/) is a highly integrated suite of
homology search, template-based modeling, structure prediction, macromolecular docking …

INTRODUCTION The emergence of three lethal coronaviruses in< 20 years and the urgency
of the COVID-19 pandemic have prompted efforts to develop new therapeutic strategies …

Recently, a novel coronavirus (SARS‐COV‐2) emerged which is responsible for the recent
outbreak in Wuhan, China. Genetically, it is closely related to SARS‐CoV and MERS‐CoV …

The Rosetta software for macromolecular modeling, docking and design is extensively used
in laboratories worldwide. During two decades of development by a community of …

Protein complex formation is a central problem in biology, being involved in most of the cell's
processes, and essential for applications, eg drug design or protein engineering. We tackle …

Protein–protein interactions (PPIs) play an important role in the different functions of cells,
but accurate prediction of the three-dimensional structures for PPIs is still a notoriously …